A Maximum-Entropy Method to Estimate Discrete Distributions from Samples Ensuring Nonzero Probabilities

A Maximum-Entropy Method to Estimate Discrete Distributions from Samples Ensuring Nonzero Probabilities

When constructing discrete (binned) distributions from samples of a data set, applications exist where it is desirable to assure that all bins of the sample distribution have nonzero probability. For example, if the sample distribution is part of a predictive model for which we require returning a r...

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Bibliographic Details
Main Authors: Paul Darscheid, Anneli Guthke, Uwe Ehret
Format: Article
Language:English
Published: MDPI AG 2018-08-01
Series:Entropy
Subjects:
histogram
sample
discrete distribution
empty bin
zero probability
Clopper–Pearson
maximum entropy approach
Online Access:http://www.mdpi.com/1099-4300/20/8/601

Internet

http://www.mdpi.com/1099-4300/20/8/601

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